The term “machine vision” refers to the technologies and processes by which machines extract, analyze, and interpret visual information from the physical world using sensors and computational algorithms. It enables machines to “see,” make decisions, and perform actions based on their visual inputs.
While 2D machine vision is great—I won’t hear a bad word said about 2D—it must be acknowledged … Read More → "Augmenting an Existing 2D CMOS Sensor to Provide 3D Depth Perception"
Ikutaro Kakehashi founded Roland Corporation in Osaka on April 18, 1972. He’d just resigned from his first company, Ace Electronic Industries, the previous month. Ace made electronic rhythm machines for electronic organs, and its largest customer was the Hammond Organ Company. When Roland opened for business, it had no products. Kakehashi quickly developed electronic drum or rhythm machines to start the revenue stream that would help him realize … Read More → "The Day of the Drum Machine"
Did you ever wonder why they (whoever “they” are) chose the prefix “tera” to mean trillion (as in 10^12, or 1,000,000,000,000)? Well, it’s because because this comes from the Greek word teras, meaning “monster” or “marvel.” Thus, “tera” was chosen to reflect the large size of a trillion, implying something vast and extraordinary, much like the way a monster or marvel would stand proud in the … Read More → "Bringing Innate Intelligence to Trillions of Devices"
This article is a book review of an autobiography of Ikutaro Kakehashi, published in 2002 and titled “I Believe in Music.” Kakehashi-san founded the electronic music powerhouse Roland, and this review was triggered by an article I read about the user-programmable Roland TR-808 Rhythm Composer, an automatic electronic drum machine. Kakehashi’s autobiography details the life of a man who dedicated his life to music, electronics, and entrepreneurship. … Read More → "The Man Who Loved Music"
AI-based anomaly detection takes center stage in this week’s Fish Fry podcast! My guest is Rachel Johnson from MathWorks and we explore how AI can work in tandem with engineers to reduce the incidence of defects and optimize maintenance schedules and the steps involved in designing and deploying an AI-based anomaly detection system; from conceptualization and data gathering to deployment and integration.
… Read More → "AI-based Anomaly Detection: From Conceptualization to Integration"
